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data is lacking. With the DataLibra project, we aim to close this gap, by developing AI models and tools for structured data (Table Representation Learning), to help organizations, of any size, domain
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models and/or model components. They apply mathematical models to answer specific research questions, analysing dynamics and processes in the natural system and its interaction with the anthroposphere
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rerum naturalium, abbreviated to Dr rer nat) or the academic title PhD. The Department of Mathematics and Computer Science confers the academic degree of Dr rer nat. Alternatively, women can be awarded
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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should clearly indicate the grades you obtained in your studies and how you satisfy the selection criteria (knowledge, experience, and interest in theoretical modelling in economics, mathematics, data work
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English language requirements. Completion of a bachelor (honours) degree or master degree by research in: civil engineering geotechnical engineering petroleum engineering mechanical engineering applied mathematics
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, elasticity is identified to play a key role in reducing noise. Theoretical modelling has shown the noise generation by scattering turbulent fluctuations at an elastic trailing ledge, which can change the
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construction of random unitaries based on quantum circuits Transfer these efficient randomization techniques into applications, especially classical shadows Model and identify the effects of experimental errors
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and
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computer science, business informatics, mathematics or similar with interest in scientific work as part of a doctorate. Independent, structured way of working, quick comprehension and the ability to familiarize